Classification of ovarian tumor samples
GSE6822_eset.Rd
Ouellet V, Provencher DM, Maugard CM, Le Page C, Ren F, Lussier C, Novak J, Ge B, Hudson TJ, Tonin PN, Mes-Masson A-M: Discrimination between serous low malignant potential and invasive epithelial ovarian tumors using molecular profiling. Oncogene 2005, 24:4672-4687.
Usage
data( GSE6822_eset )
Format
experimentData(eset):
Experiment data
Experimenter name: Ouellet V, Provencher DM, Maugard CM, Le Page C, Ren F, Lussier C, Novak J, Ge B, Hudson TJ, Tonin PN, Mes-Masson A-M: Discrimination between serous low malignant potential and invasive epithelial ovarian tumors using molecular profiling. Oncogene 2005, 24:4672-4687.
Laboratory: Ouellet, Mes-Masson 2005
Contact information:
Title: Classification of ovarian tumor samples
URL:
PMIDs: PMID unknown
Abstract: A 40 word abstract is available. Use 'abstract' method.
Information is available on: preprocessing
notes:
platform_title:
[Hu6800] Affymetrix Human Full Length HuGeneFL Array
platform_shorttitle:
Affymetrix Hu6800
platform_summary:
hu6800
platform_manufacturer:
Affymetrix
platform_distribution:
commercial
platform_accession:
GPL80
platform_technology:
in situ oligonucleotide
Preprocessing: rma
featureData(eset):
An object of class 'AnnotatedDataFrame'
featureNames: A2M AADAC ... ZYX (5251 total)
varLabels: probeset gene
varMetadata: labelDescription
Details
assayData: 5251 features, 66 samples
Platform type: hu6800
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Available sample meta-data:
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alt_sample_name:
Length Class Mode
66 character character
sample_type:
borderline cellline tumor
6 2 58
histological_type:
Length Class Mode
66 character character
primarysite:
ov
66
summarygrade:
high low NA's
40 15 11
grade:
1 2 3 NA's
1 14 40 11
batch:
Length Class Mode
66 character character
uncurated_author_metadata:
Length Class Mode
66 character character